Computer Vision and Deep Learning Engineer

D3 Engineering; City of Rochester (NY); On-site; USD 107,000 - 155,000; Full time

Benefits offered by this job

Competitive compensation

Medical and dental coverage

401k retirement contribution

Remote opportunities available

Paid holidays and time off

Professional development assistance

Flexible work schedules

Snacks and beverages

Job summary

D3 Embedded is seeking a Computer Vision and Deep Learning Engineer to design, train, and deploy CV/AI models for embedded platforms. You will work on object detection, segmentation, and sensor fusion, applying PyTorch/TensorFlow and OpenCV in real-world deployments.

Ideal candidates have 0–5 years of relevant experience, strong Python/C++, and a collaborative mindset to drive product innovation across teams.

Qualifications

• BS/MS in Computer Vision, ML, CS or related field.
• 0-5 years of experience.
• Proficiency in Python and C++.

Responsibilities

• Research, develop CV/AI solutions for perception problems.
• Translate product requirements to design specifications.
• Deploy real-time CV/AI on embedded/edge platforms.
• Own full life cycle of new products from concept to integration.
• Collaborate with cross-functional teams on product strategies.
• Participate in all phases of product development cycle.

Skills

Python

C++

OpenCV

PyTorch

TensorFlow

Transfer learning

Fine-tuning

End-to-end pipelines

Problem solving

Leadership

Communication

Education

Bachelor's or Master’s in Computer Vision, ML, CS or related field

Tools

NVIDIA Jetson

TensorRT

OpenCL

CUDA

GStreamer

ROS

Job description

Department: Product Design Services

FLSA Status: Exempt

Reports to: PDS Operations Manager

Pay Range: $106,800 - $154,800 annually

Location: Rochester, NY

The Role:

D3 Embedded is seeking a skilled Computer Vision and Deep Learning Engineer to develop and implement cutting-edge AI solutions. This role involves designing, training, and optimizing deep learning models for image and video analysis, object detection, and pattern recognition. The ideal candidate has experience with machine learning frameworks (PyTorch, TensorFlow), computer vision algorithms, and real-world deployment of AI models. This position requires strong problem-solving skills and collaboration with cross-functional teams to drive innovation and enhance product capabilities.

Responsibilities:

• Research, develop, and integrate CV/AI solutions for perception problems such as object detection, instance segmentation, sensor fusion, pose estimation etc.
• Translate product feature requirements to design specifications and devise high-level software architectures to meet requirements and guide design trade-off decisions.
• Deploy real-time, optimized CV/AI solutions to embedded and edge platforms.
• Own the full life cycle of new products/solutions from proof of concept to integration with other components and teams.
• Collaborate with management and technical teams on product strategies
• Participate in all phases of the product development cycle including:
• requirements definition and architecture
• software design and development
• implementing software
• software/hardware integration
• verification and validation, and customer support
• Develop & identify tools / methods for better design reuse & process improvement
• Participate in design reviews and provide technical oversight

Additional Responsibilities:

• Other duties as assigned

The Right Person Will Have (Required):

• Bachelor or Master of Science in Computer Vision, Machine/Deep Learning, Computer Science, Computer/Electrical/Software Engineering, or related field.
• 0-5 years of experience
• Excellent problem solving & troubleshooting skills.
• Proficiency in Python and C++
• Proficiency with OpenCV
• Proficiency with PyTorch, TensorFlow, or related machine learning framework(s)
• Experience with fine-tuning and transfer learning AI models
• Ability to design end-to-end processing pipelines for custom use cases
• Self-Driven personality
• Capable of a big picture, system-oriented approach
• Solid technical leadership skills
• Strong communication and interpersonal skills

The Right Person Will Have (Preferred):

• Experience with autonomous/industrial robotic platforms and applications
• Experience with embedded and edge processing platforms (Nvidia Jetson devices and TensorRT in particular)
• Experience with edge AI accelerators (integration, model conversions, deployment, profiling, etc.)
• Knowledge of intrinsic and extrinsic calibration procedures for multi-modal sensor systems
• Experience with sensor fusion techniques (calibration, early, mid, late fusion, etc.)
• Knowledge of camera optics and computational geometry
• Gstreamer experience
• Robot Operating System (ROS) experience
• Experience with version control systems such as GIT and DVC
• Experience with GPU programming frameworks such as OpenCL and CUDA

The Benefits:

• Competitive total compensation
• Medical and dental coverage
• Employer paid basic life, short-term disability, and identity theft coverage
• Voluntary vision, life, long-term disability, accident, critical illness coverage
• 401k retirement contribution
• Paid holidays, time-off, and sick time
• Tuition assistance and employer paid professional development
• Flexible work schedules
• Remote opportunities available
• Complimentary snacks and beverages
• Employer sponsored social events